使用光线追踪工具预测国际空间站的多路径和掩蔽环境

M. Porretta, F. Zanier, A. García-Rodríguez, O. Mongrard, M. Powe
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引用次数: 1

摘要

自动转移飞行器(ATV)使用相对全球定位系统(RGPS)导航到国际空间站(ISS),同时执行初始交会机动。RGPS解决方案包括国际空间站Zvezda模块中的全球定位系统(GPS)接收器,其观测数据被传输到接近的ATV,并由ATV应用。因此,在规划交会操作时,国际空间站GPS接收环境的特征是一个关键因素。由于国际空间站与GPS卫星之间的相对运动以及国际空间站太阳能阵列(SA)板的太阳跟踪方向,国际空间站的接收环境是时变的。欧洲空间局(ESA)的欧洲空间研究和技术中心(ESTEC)开发了一种射线追踪(RT)工具,以预测给定配置中最关键的多径和遮蔽事件。该工具基于几何光学(GO),并评估每个多路径事件对伪距离误差的相关影响。该工具使用分别于2010年和2011年进行的两次测量活动中收集的飞行数据测量(FDM)进行验证。特别是,验证活动表明该工具能够及时预测大多数最关键的多路径事件。本文介绍了为支持“阿尔伯特·爱因斯坦”ATV任务(2013年6月)的交会操作而准备的RT工具、底层验证活动和预测结果。在这次任务中,使用RT工具分析了国际空间站的三种候选配置。根据预测结果,确定了最大限度地减少最关键事件发生的配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of a Ray-Tracing tool to predict the international space station multipath and masking environment
The Automated Transfer Vehicle (ATV) uses Relative Global Positioning System (RGPS) to navigate towards the International Space Station (ISS) while performing initial rendezvous manoeuvers. The RGPS solution includes a Global Positioning System (GPS) receiver in the ISS Zvezda module, whose observations are transmitted to, and applied by, the approaching ATV. The characterization of the GPS reception environment of the ISS is, therefore, a key element when planning rendezvous operations. The reception environment of the ISS is time-variant due to the relative motion between the ISS and the GPS satellites and to the sun-tracking orientation of the ISS Solar Array (SA) panels. In order to predict, for a given configuration, the most critical multipath and masking events, a Ray-Tracing (RT) tool has been developed at the European Space Research and Technology Centre (ESTEC) of the European Space Agency (ESA). The tool is based on Geometrical Optics (GO) and evaluates, for each multipath event, the associated effects on the pseudo-range error. The tool was validated using Flight Data Measurements (FDM) collected during two measurements campaigns which took place in 2010 and 2011, respectively. In particular, the validation activities show that the tool is able to timely predict the majority of the most critical multipath events. This paper presents the RT tool, the underlying validation activities and the prediction results which were prepared to support the rendezvous operations for the "Albert Einstein" ATV mission (June 2013). For this mission, three candidate configurations for the ISS were analyzed with the RT tool. Based on the prediction results, the configuration which minimizes the occurrence of the most critical events was also identified.
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